LangGraph imposes structure on the complexity of AI agents, transforming loosely connected models into orchestrated systems capable of reasoning, acting, and adapting.
LangGraph training courses move beyond treating prompts as isolated commands, demonstrating how to design flows where agents collaborate, retain memory, and make decisions across evolving tasks.
Participants engage in live, instructor-led sessions that prioritize interactive, hands-on practice. This can be done online via an interactive remote desktop or onsite in Prague with the support of experienced trainers.
Onsite live training is also available at customer premises in Prague or at NobleProg corporate training centers, providing teams with a focused environment to experiment with agentic AI.
Often referred to as the LangChain Graph Framework, LangGraph is rapidly becoming the foundation of multi-agent applications. It offers developers and innovators a pathway to build AI systems that function less like tools and more like collaborators.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
Gain proficiency in LangGraph for legal contexts through this 35-hour, instructor-led training in Prague. Designed for intermediate to advanced professionals, the curriculum addresses workflow design, compliance safeguards, and human-in-the-loop validations. Empower yourself to build auditable, production-grade LLM solutions with assured reliability.
This instructor-led course on Prague empowers professionals to design LangGraph-based financial solutions. Learners acquire the skills to implement workflows aligned with regulatory requirements, integrate data standards, and deploy systems with robust governance, observability, and compliance controls.
Discover how LangGraph applies to healthcare in this live training held in Prague, designed for intermediate to advanced professionals. Gain expertise in designing stateful, compliant workflows, integrating standards like FHIR and SNOMED CT, and navigating ethical and operational complexities within regulated environments.
This live, instructor-led training in Prague is tailored for advanced AI platform engineers, DevOps specialists for AI, and ML architects who seek to optimize, debug, monitor, and operate production-grade LangGraph systems for stateful, multi-actor LLM applications structured as composable graphs.
This instructor-led session in Prague explores the application of LangGraph in marketing automation. Learners will acquire the skills to create conditional content workflows, leverage LLMs for personalized email campaigns, and manage state within multi-step pipelines, thereby gaining practical expertise for contemporary marketing needs.
This live course, delivered online or onsite in Prague, guides intermediate engineers in developing dynamic LLM workflows using LangGraph. Participants will learn to design stateful graphs, implement branching logic, and integrate retrieval systems, APIs, and memory components to build robust, context-aware applications.
This instructor-led LangGraph Fundamentals course based in Prague empowers developers to construct graph-based LLM applications. Gain proficiency in core concepts such as nodes, edges, state management, and branching logic. Learn to integrate tools, retrieval systems, and external APIs, then validate and deploy dependable workflows through practical, hands-on labs.
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